To close out our series on building recommendation models using Sketchfab data, I will venture far from the previous [posts’]({{ ref “/blog/implicit-mf-part-2” >}}) factorization-based methods and instead explore an unsupervised, deep learning-based model. You’ll find that the implementation is fairly simple with remarkably promising results which is almost a smack in the face to all of that effort put in earlier. We are going to build a model-to-model recommender using thumbnail imag...
